How to overcome unstructured data chaos with scalable governance

What this post added

This post introduces a new capability focused on unstructured data governance. It details a multi-step process for managing unstructured data, including inventorying assets, establishing taxonomies, automating enrichment and indexing with ML techniques (OCR, embeddings) and hybrid search strategies (inverted indexes, vector stores), codifying policies, implementing stewardship and access controls (RBAC/ABAC), and continuous monitoring. The system aims to make unstructured data searchable, contextual, and trustworthy, supporting AI initiatives.